Package: E2E
Title: Ensemble Learning Framework for Diagnostic and Prognostic
        Modeling
Version: 0.1.3
Authors@R: person("Shanjie", "Luan", email = "Luan20050519@163.com", role = c("aut", "cre"))
Description: Provides a framework to build and evaluate diagnosis or 
    prognosis models using stacking, voting, and bagging ensemble
    techniques with various base learners. The package also includes
    tools for visualization and interpretation of models. The development
    version of the package is available on 'GitHub' at 
    <https://github.com/xiaojie0519/E2E>. The methods 
    are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655>
    on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> 
    on stacking.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://xiaojie0519.github.io/E2E/
BugReports: https://github.com/xiaojie0519/E2E/issues
RoxygenNote: 7.3.3
Imports: caret, dplyr, tidyr, gbm, ggplot2, glmnet, magrittr, MASS,
        patchwork, pROC, PRROC, randomForestSRC, readr, RSNNS, shapviz,
        survival, survivalROC, survminer, xgboost, plsRcox, cowplot,
Suggests: ada, doParallel, e1071, kernlab, klaR, knitr, nnet,
        randomForest, RColorBrewer, rmarkdown, rpart, survcomp,
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
Language: en
NeedsCompilation: no
Packaged: 2026-03-19 15:27:36 UTC; Lenovo
Author: Shanjie Luan [aut, cre]
Maintainer: Shanjie Luan <Luan20050519@163.com>
Repository: CRAN
Date/Publication: 2026-03-19 16:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:17:08 UTC; unix
